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The BSc Finance and Mathematics at Royal Holloway is designed for students who want a strong mathematical background alongside a clear understanding of how finance works in the real world. It suits those aiming for careers in banking, finance, analytics, and quantitative roles, or for further study in finance or mathematics.
Curriculum structure
Year 1 – Mathematical and financial fundamentals
In the first year, you’ll study core mathematics through modules such as Calculus and Linear Algebra, building the analytical skills needed for advanced financial study. Alongside this, Introduction to Finance introduces financial markets, investment principles, and how mathematical methods support financial decision-making.
Year 2 – Applying mathematics to finance
The second year develops your ability to analyse financial problems using quantitative tools, with modules like Corporate Finance and Probability and Statistics. These subjects help you understand risk, uncertainty, and valuation, while further mathematics modules strengthen logical reasoning and problem-solving.
Year 3 – Advanced finance and mathematical modelling
In your final year, you’ll explore more specialised topics such as Financial Mathematics and Derivatives and Risk Management, focusing on how mathematics underpins modern financial systems. Optional modules allow you to tailor your studies towards areas such as investment, risk analysis, or postgraduate study.
Focus areas:
Financial markets, corporate finance, financial mathematics, probability and statistics, risk management, quantitative analysis
Learning outcomes:
Advanced numerical and analytical skills, understanding of financial theory and practice, ability to model financial risk, strong problem-solving ability, preparation for quantitative finance careers
Professional alignment (accreditation):
Accredited by the Institute of Mathematics and its Applications (IMA), supporting progression towards professional mathematical recognition.
Reputation (employability & rankings):
Royal Holloway performs strongly in QS World University Rankings by Subject and is recognised for graduate outcomes, particularly in mathematics and finance-related disciplines.
At Royal Holloway, University of London, the BSc Finance and Mathematics degree focuses on developing practical, analytical skills that reflect how finance and quantitative methods are used in real organisations. Alongside rigorous mathematical training, you’ll work with financial data, models, and digital tools that are widely used in banking, investment, and corporate finance. Teaching is research-led and supported by specialist facilities, helping you connect theory with real financial decision-making from the very start:
Applied finance and quantitative modules that use real-world financial data to study markets, risk management, and financial decision-making
Hands-on learning with Bloomberg terminals in the Royal Holloway Library, giving you experience of professional financial data, analytics, and market information
Use of industry-relevant software, including Excel for financial modelling and quantitative tools such as MATLAB, R, and Python within mathematics and finance modules
Group-based coursework and problem-solving projects, designed to mirror professional finance and business scenarios
Teaching delivered jointly by the Department of Economics and the Department of Mathematics, ensuring strong academic depth and practical relevance
Access to specialist teaching and computing facilities in the Emily Wilding Davison Building, home to the Mathematics Department
Full use of the Royal Holloway Library, offering extensive finance, economics, and mathematics books, journals, and online financial databases
Research-informed learning, with academics actively contributing to developments in finance, economics, and applied mathematics
This degree is ideal if you want a strong quantitative edge for careers in finance, analytics, banking, or further study—without stepping away from hands-on learning and real financial tools.
Graduates of the BSc Finance and Mathematics at Royal Holloway, University of London go on to build strong careers in finance, analytics, and business-facing roles where quantitative thinking is highly valued. The combination of mathematical rigour and financial application means students are well prepared for both immediate employment and long-term career growth. Typical graduate roles include Financial Analyst, Investment Analyst, Risk Analyst, and Data Analyst:
Careers and Employability Support: Royal Holloway’s Careers Service offers one-to-one career guidance, CV and interview workshops, employer presentations, assessment centre preparation, and access to the university’s online jobs and internships platform. Students also benefit from embedded employability skills within the degree.
Graduate Outcomes & Salary Potential: According to Royal Holloway’s official Graduate Outcomes data, graduates from mathematics and finance-related programmes progress into professional and managerial roles, with competitive starting salaries in finance, banking, consulting, and analytics sectors.
Industry Links and Employer Engagement: The university maintains strong connections with employers in banking, finance, consulting, and data-driven industries, with regular guest lectures, careers fairs, and networking events involving major financial institutions and employers.
Accreditation & Long-Term Value: Royal Holloway is a member of the University of London, a globally recognised academic federation, giving the degree strong international credibility and long-term professional value.
Graduate Destinations: Alumni work across financial services, investment firms, insurance companies, fintech organisations, and multinational corporations, as well as progressing into postgraduate study.
Further Academic Progression:
After completing the BSc Finance and Mathematics, students can continue their studies through postgraduate pathways such as MSc Finance, MSc Financial Mathematics, MSc Data Analytics, MSc Economics, or other specialist quantitative and business-related master’s programmes at Royal Holloway or other leading universities. The strong mathematical foundation also supports progression into PhD-level research for students interested in academic or advanced analytical careers.
A-Level: Applicants studying A-Levels are expected to achieve grades ranging from ABB to ABC, depending on subject combinations. A strong performance in A-Level Mathematics at grade A is mandatory.GCSE: Students must have completed GCSE English and Mathematics with a minimum grade of 4 or C.International Baccalaureate (IB): IB students should achieve 6, 5, 5 at Higher Level, or a minimum total score of 32 points overall. This must include HL Mathematics: Analysis and Approaches (grade 6), or SL Mathematics: Analysis and Approaches (grade 7), or HL Mathematics: Applications and Interpretation (grade 7).IELTS: Applicants must demonstrate English language proficiency with an overall IELTS score of 6.5. No individual band score should be below 5.5, ensuring balanced language skills across all areas.TOEFL iBT: For TOEFL iBT, a minimum overall score of 88 is required. Section-wise, candidates must score at least 18 in Reading, 17 in Listening, 20 in Speaking, and 17 in Writing.UCAS: Applications must be submitted through UCAS, following standard UK undergraduate application procedures.American: Students following the American curriculum must achieve a grade of 4 in at least two relevant AP examinations. Alternatively, applicants may qualify with an ACT composite score of 25 (including writing) or an SAT score between 1100–1200.CBSE: Applicants from India are required to score a minimum of 75% overall in their Higher Secondary School Certificate. Additionally, a minimum of 85% must be achieved in any subject that is considered equivalent to the required A-Level subjects.Data AnalystStatisticianActuaryFinancial AnalystInvestment AnalystQuantitative ResearcherOperations Research AnalystRisk AnalystEconomistMarket Research AnalystBusiness AnalystData ScientistCryptographerSoftware DeveloperMachine Learning EngineerAccountantAuditorTeacherResearch ScientistMeteorologistBiostatisticianFinancial PlannerMathematical ModelerAcademic ResearcherArtificial Intelligence Specialist
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Royal Holloway University of London
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